Probability Collectives

A Distributed Multi-agent System Approach for Optimization

  • Anand Jayant Kulkarni
  • Kang Tai
  • Ajith Abraham

Part of the Intelligent Systems Reference Library book series (ISRL, volume 86)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Anand Jayant Kulkarni, Kang Tai, Ajith Abraham
    Pages 1-13
  3. Anand Jayant Kulkarni, Kang Tai, Ajith Abraham
    Pages 15-35
  4. Anand Jayant Kulkarni, Kang Tai, Ajith Abraham
    Pages 37-60
  5. Anand Jayant Kulkarni, Kang Tai, Ajith Abraham
    Pages 61-72
  6. Anand Jayant Kulkarni, Kang Tai, Ajith Abraham
    Pages 73-93
  7. Anand Jayant Kulkarni, Kang Tai, Ajith Abraham
    Pages 95-125
  8. Anand Jayant Kulkarni, Kang Tai, Ajith Abraham
    Pages 127-144
  9. Back Matter
    Pages 145-157

About this book

Introduction

This book provides an emerging computational intelligence tool in the framework of collective intelligence for modeling and controlling distributed multi-agent systems referred to as Probability Collectives. In the modified Probability Collectives methodology a number of constraint handling techniques are incorporated, which also reduces the computational complexity and improved the convergence and efficiency. Numerous examples and real world problems are used for illustration, which may also allow the reader to gain further insight into the associated concepts.

Keywords

Collective Intelligence Computational Intelligence Distributed Multi-agent Systems Optimization Probability Collectives

Authors and affiliations

  • Anand Jayant Kulkarni
    • 1
  • Kang Tai
    • 2
  • Ajith Abraham
    • 3
  1. 1.School of Mechanical and Aerospace EngineeringNanyang Technological UniversitySingaporeSingapore
  2. 2.School of Mechanical and Aerospace Engineering,Nanyang Technological UniversitySingaporeSingapore
  3. 3.Scientific Network for Innovation and Research ExcellenceMachine Intelligence Research Labs (MIR Labs)AuburnUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-16000-9
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-15999-7
  • Online ISBN 978-3-319-16000-9
  • Series Print ISSN 1868-4394
  • Series Online ISSN 1868-4408
  • About this book
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